Light & Wonder (LAWIL) Shares Outstanding (2009 - 2026)
Light & Wonder's Weighted Average Shares Outstanding came in at 76.4 million for Q3 2026, down 9.0% from 84 million a year earlier and down 1.3% from the prior quarter.
Light & Wonder (LAWIL) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Light & Wonder's Weighted Average Shares Outstanding was 83 million, down 6.7% from FY2024.
- Weighted Average Shares Outstanding has declined in each of the last four years, with a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 89 million in FY2024 (-2.2%), 91 million in FY2023 (-4.2%), 95 million in FY2022 (-1.0%) and 96 million in FY2021 (+1.1%).
- The Q3 2026 figure represents the lowest quarterly Weighted Average Shares Outstanding in data going back to Q4 2009.
- Year-over-year, Weighted Average Shares Outstanding has declined for 18 consecutive quarters, with an average decline of 6.5% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in Q1 2022 (growth of 2.1%), and the weakest in Q3 2026 (a decline of 9.0%).
- Business Quant data shows LAWIL's Weighted Average Shares Outstanding at 77.4 million (Q2 2026), 77.6 million (Q1 2026) and 83 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 44.86 Bn | 38.23 Bn | 655.12 Mn | 306.02 Mn |
| 2 | Vail Resorts | 28.33 Bn | 27.04 Bn | - | 142.93 Mn |
| 3 | Las Vegas Sands | 25.59 Bn | 12.41 Bn | 1.47 Bn | 639.00 Mn |
| 4 | DraftKings | 17.25 Bn | 13.04 Bn | 429.05 Mn | 496.93 Mn |
| 5 | Flutter Entertainment | 14.34 Bn | 7.97 Bn | 1.52 Bn | 176.00 Mn |
| 6 | Life Time Group Holdings | 10.65 Bn | 9.82 Bn | 419.01 Mn | 224.06 Mn |
| 7 | MGM Resorts International | 8.32 Bn | -116.89 Mn | 1.73 Bn | 251.96 Mn |
| 8 | MSG Knickerbockers | 7.63 Bn | 7.24 Bn | 36.67 Mn | 24.18 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 76.40 Mn |
| 10 | Churchill Downs | 6.99 Bn | 6.25 Bn | 207.00 Mn | 70.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.40 Mn |
| Jun 30, 2026 | 77.40 Mn |
| Mar 31, 2026 | 77.60 Mn |
| Dec 31, 2025 | 83.00 Mn |
| Sep 30, 2025 | 84.00 Mn |
| Jun 30, 2025 | 84.00 Mn |
| Mar 31, 2025 | 85.00 Mn |
| Dec 31, 2024 | 89.00 Mn |
| Sep 30, 2024 | 89.00 Mn |
| Jun 30, 2024 | 90.00 Mn |
| Mar 31, 2024 | 90.00 Mn |
| Dec 31, 2023 | 91.00 Mn |
| Sep 30, 2023 | 91.00 Mn |
| Jun 30, 2023 | 91.00 Mn |
| Mar 31, 2023 | 91.00 Mn |
| Dec 31, 2022 | 95.00 Mn |
| Sep 30, 2022 | 94.00 Mn |
| Jun 30, 2022 | 95.00 Mn |
| Mar 31, 2022 | 97.00 Mn |
| Dec 31, 2021 | 96.00 Mn |
Light & Wonder Shares Outstanding API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding&ticker=LAWIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "LAWIL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=LAWIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();